Remote Data Modeler Jobs
Remote Data Modeler jobs are open across the U.S. in sectors like financial services, healthcare, technology, and enterprise software, where distributed data teams rely on strong modeling to keep business intelligence consistent. Companies hiring remote data modelers right now include PingWind, Deutsche Bank, and Dew Softech, ranging from early-career positions on collaborative data engineering teams to senior roles leading dimensional and relational model design. Find a role that fits below and apply directly.
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See related jobsFidelity will not provide immigration sponsorship for this position.
Job Description:
The Role
Are you prepared to deliver an outstanding impact? As a Principal Data Modeler supporting Workplace Investments, you will apply hands-on data modeling skills across important business and technology initiatives. Join us in building scalable, flexible, and thoroughly documented data models that correspond with our WI Data Strategy and Enterprise Data Taxonomy. Your efforts will guide technical decisions, define modeling standards, and support modernization projects!
The Expertise and Skills You Bring
- 8-10+ years of experience in conceptual, logical, physical, relational, dimensional, and 3NF data modeling for enterprise OLTP and analytical platforms
- Good experience with conceptual, logical, physical, 3NF, relational, and dimensional modeling.
- Experience designing models for enterprise OLTP and analytical platforms.
- Experience with legacy data modernization and cloud migration.
- Knowledge of data architecture, governance, metadata, and data quality practices.
- Ability to influence collaborators and translate business requirements into effective data models.
- Strong SQL skills, preferably ANSI SQL.
- Experience with modeling tools such as Erwin, PowerDesigner, Oracle Designer, or similar.
- Snowflake experience is a plus.
- Good communication, collaboration, and mentoring skills. Ability to work independently across multiple agile engineering teams.
The Team
At Fidelity Investments, the WI Data Engineering Data Modeling team is dedicated to building scalable, resilient, and well-governed data solutions that enable business success. We partner closely with Engineering, Product, Architecture, and business teams to design high-quality data models and databases aligned with enterprise data governance, taxonomy, and architecture standards. We promote innovation, collaboration, and the adoption of industry best practices while continuously evolving our processes, standards, and technologies to meet changing business needs. With a strong commitment to our clients and a culture that values learning, mentorship, and professional growth, we believe our greatest strength is our people.
Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Information TechnologyPlease be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Fidelity will not provide immigration sponsorship for this position.
Job Description:
The Role
Are you prepared to deliver an outstanding impact? As a Principal Data Modeler supporting Workplace Investments, you will apply hands-on data modeling skills across important business and technology initiatives. Join us in building scalable, flexible, and thoroughly documented data models that correspond with our WI Data Strategy and Enterprise Data Taxonomy. Your efforts will guide technical decisions, define modeling standards, and support modernization projects!
The Expertise and Skills You Bring
- 8-10+ years of experience in conceptual, logical, physical, relational, dimensional, and 3NF data modeling for enterprise OLTP and analytical platforms
- Good experience with conceptual, logical, physical, 3NF, relational, and dimensional modeling.
- Experience designing models for enterprise OLTP and analytical platforms.
- Experience with legacy data modernization and cloud migration.
- Knowledge of data architecture, governance, metadata, and data quality practices.
- Ability to influence collaborators and translate business requirements into effective data models.
- Strong SQL skills, preferably ANSI SQL.
- Experience with modeling tools such as Erwin, PowerDesigner, Oracle Designer, or similar.
- Snowflake experience is a plus.
- Good communication, collaboration, and mentoring skills. Ability to work independently across multiple agile engineering teams.
The Team
At Fidelity Investments, the WI Data Engineering Data Modeling team is dedicated to building scalable, resilient, and well-governed data solutions that enable business success. We partner closely with Engineering, Product, Architecture, and business teams to design high-quality data models and databases aligned with enterprise data governance, taxonomy, and architecture standards. We promote innovation, collaboration, and the adoption of industry best practices while continuously evolving our processes, standards, and technologies to meet changing business needs. With a strong commitment to our clients and a culture that values learning, mentorship, and professional growth, we believe our greatest strength is our people.
Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Information TechnologyPlease be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
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Find Remote Data Modeler JobsRemote Data Modeler Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote data modeler jobs.
- Proficiency in SQL for querying, transforming, and validating data models
- Experience with dimensional modeling techniques such as Kimball star schema or Data Vault
- Hands-on work with data modeling tools like erwin, ER/Studio, or dbt
- Familiarity with cloud data warehouse platforms such as Snowflake, BigQuery, or Redshift
- Ability to collaborate with business analysts to translate requirements into logical and physical models
- Bachelor's degree in computer science, information systems, or a related technical field
Tips for Your Remote Data Modeler Job Search
Show your models in a public portfolio
Remote employers can't watch you work, so publish schema diagrams, ERDs, and documented design decisions on GitHub or a personal site. Annotate the tradeoffs you made so hiring managers see your reasoning, not just your output.
Demonstrate async written communication clearly
Remote data modeler roles depend on written clarity because most collaboration happens in pull request reviews, Confluence docs, and Slack threads rather than in-person meetings. Practice writing concise, well-structured technical documentation before your interview so you can point to it as a sample.
Apply early to remote roles that fit
Migrate Mate lists remote data modeler openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through location-filtered results. Applying in the first few days of a posting improves your chances before competition builds.
Prepare for remote technical interviews on modeling tools
Remote hiring processes for data modelers commonly include a live or async take-home exercise in dbt, Erwin, or Lucidchart. Practice walking an interviewer through a dimensional model design on a shared screen, explaining normalization choices and naming conventions out loud as you build.
Remote Data Modeler Jobs: Frequently Asked Questions
How do I get a remote data modeler job?
Target remote-first technology companies, healthcare analytics firms, and financial services organizations that run distributed data teams, since those employers post the most remote data modeler roles. Remote hiring managers screen for self-direction, clear written communication, and proficiency in tools like dbt, Snowflake, and Erwin. A portfolio showing real data models, documented design decisions, and schema diagrams gives you a concrete edge over candidates who list skills without evidence.
Which companies hire remote data modelers?
Companies hiring remote data modelers right now include PingWind, Deutsche Bank, and Dew Softech, based on current remote listings on Migrate Mate as of November 2026. Remote data modeler roles are most common at remote-first software companies, distributed healthcare analytics teams, and financial services firms that centralize data infrastructure across multiple regions.
Can you get a remote data modeler job with no experience?
Yes, but remote entry-level data modeler roles are harder to land because employers expect you to work independently without close supervision from day one. Smaller remote-first startups and consultancies are more open to candidates early in their careers. Sharing a portfolio with personal or academic data models, contributing to open-source schema projects, and demonstrating clear written communication all help compensate for limited professional experience.
Do you need a degree for remote data modeler jobs?
Not always. Remote employers weigh demonstrated modeling skills, tool proficiency, and a portfolio of real work heavily alongside any formal credential. Many remote data modeler roles list a degree as preferred rather than required, especially at companies that evaluate candidates through skills assessments or technical interviews focused on ERD design, normalization, and data warehouse concepts.
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Find Remote Data Modeler Jobs